Balint Gyevnar

According to our database, Balint Gyevnar authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior.

Balint Gyevnar, Stephanie Droop, Tadeg Quillien

CoRR, 2024

Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review.

Anton Kuznietsov, Balint Gyevnar, Cheng Wang, Steven Peters, Stefano V. Albrecht

CoRR, 2024

Causal Explanations for Sequential Decision-Making in Multi-Agent Systems.

Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Building Trustworthy Human-Centric Autonomous Systems Via Explanations.

Balint Gyevnar

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Towards Trustworthy Autonomous Systems via Conversations and Explanations.

Balint Gyevnar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making.

Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht

CoRR, 2023

Aligning Explainable AI and the Law: The European Perspective.

Balint Gyevnar, Nick Ferguson

CoRR, 2023

Bridging the Transparency Gap: What Can Explainable AI Learn from the AI Act?

Balint Gyevnar, Nick Ferguson, Burkhard Schafer

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Communicative Efficiency or Iconic Learning: Do Acquisition and Communicative Pressures Interact to Shape Colour- Naming Systems?

Balint Gyevnar, Gautier Dagan, Coleman Haley, Shangmin Guo, Frank Mollica

Entropy, 2022

A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning.

Balint Gyevnar, Massimiliano Tamborski, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht

CoRR, 2022

Deep reinforcement learning for multi-agent interaction.

Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, Stefano V. Albrecht

AI Commun., 2022

2021

GRIT: Verifiable Goal Recognition for Autonomous Driving using Decision Trees.

Cillian Brewitt, Balint Gyevnar, Stefano V. Albrecht

CoRR, 2021

GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving.

Cillian Brewitt, Balint Gyevnar, Samuel Garcin, Stefano V. Albrecht

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Interpretable Goal-based Prediction and Planning for Autonomous Driving.

Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Balint Gyevnar, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy

Proceedings of the IEEE International Conference on Robotics and Automation, 2021